To Serve

Marco Gori

sample-image Marco Gori received the Ph.D. degree from University of Bologna, working partly at McGill University, Montréal. He is full professor of computer science at the University of Siena, head of the Siena Artificial Intelligence Lab, and co-founder of Questit. He was Chairman of the Italian Chapter of the IEEE Computational Intelligence Society, and President of the Italian Association for Artificial Intelligence. He is a fellow of the IEEE, EurAI, and IAPR.
He is author of “Machine Learning: A Constraint-Based Approach,” Morgan Kaufmann, 560 pp., 2018.

Website: sailab.diism.unisi.it/people/marco-gori/

Mehdi Keramati

sample-image Dr. Keramati is a multi-disciplinary scientist with his background in Computer Engineering (BSc), Economics (MSc), and Mathematical Neuroscience (PhD). He held two postdoctoral positions in Computational Neuroscience (UCL) and Computational Psychiatry (UCL). He has been a lecturer at the Department of Psychology at City since 2018. His research focuses on Planning, and Decision Making, Neuroeconomics, and Behavioral Economics. More broadly, he maintains an active interest in applying machine learning and artificial intelligence methods to to understanding human and social decision making processes by using a mixture of theoretical/computational and experimental techniques.

Website: city.ac.uk/people/academics/mehdi-keramati

Shuhui Li

sample-image Dr. Shuhui Li received his B.S. and M.S. degrees in Electrical Engineering respectively from Southwest Jiaotong University in Chengdu, China and Ph.D. degree in Electrical Engineering from Texas Tech University. From 1988 to 1995, he was with the School of Electrical Engineering at Southwest Jiaotong University, where his research interests were in the areas of modelling and simulation of large dynamic systems, dynamic process simulation of electrified railways, power electronics, power systems, and power system harmonics. From 1995 to 1999, Dr. Li involved into the research areas of renewable energies, neural networks, and applications of massively parallel processing. He was with the Department of Electrical Engineering and Computer Science at Texas A&M University - Kingsville from 1999 to 2006. He joined the Department of Electrical and Computer Engineering at The University of Alabama in 2006. Dr. Li is a member of IEEE and a member of ASME.

Website: eng.ua.edu/people/sli/

Brad Love

sample-image Brad Love is Professor of Cognitive and Decision Sciences at UCL and an inaugural Faculty Fellow at the Alan Turing Institute, the UK's national institute for data science. He is also an APS, ELLIS, and Wolfson fellow. His work lies at the intersection of Neuroscience, Experimental Psychology, and Machine Learning. He has made contributions in linking models of cognition to brain function, and to using large real-world datasets to understand human behaviour. His current focus is making deep learning approaches more consistent with human behavioural and brain measures to increase the robustness of models and make them more faithful accounts of human cognition. For example, work in his lab seeks to incorporate top-down, goal-directed attentional mechanisms into convolutional networks to improve model correspondence with human behaviour and brain activity. Another project aims to interface brain measures with networks to better understand how brain regions correspond to parts of networks and to pave the way for better brain machine interfaces.

Website: bradlove.org